g. Rostova-na-Donu, Russian Federation
CSCSTI 06.52
Russian Trade and Bibliographic Classification 77
Russian Trade and Bibliographic Classification 7713
Russian Trade and Bibliographic Classification 7714
Russian Trade and Bibliographic Classification 7717
Russian Trade and Bibliographic Classification 7726
Russian Trade and Bibliographic Classification 777
BISAC BUS000000 General
The given article presents an econometric analysis of the volume of enumerations of customs payments into the federal budget of the Russian Federation during export and import. On the basis of the given data for 2012-2020, econometric models have been constructed and the volumes of the customs payments in both directions of movement for 2021 have been predicted
econometric model, forecasting, dummy variables, trend, customs payments, import, export
1. Butrimenko A.I. The practice of calculating customs payments // Young scientist. 2018. No.21. pp. 231- 233.
2. Official website of the Federal Customs Service [Electronic resource]. URL: https://customs.gov.ru.
3. Larkin E.V. Time series analysis and forecasting according to customs statistics: textbook. St. Petersburg: Troitsky Bridge, 2016.
4. Tsvil M. M. Time series analysis and forecasting: studies. stipend. Rostov n/A: Russian Customs Academy, Rostov branch, 2016. 135 p.
5. Tsvil M. M. Econometrics: lecture notes on the academic discipline. Rostov n/A: Russian Customs Academy, Rostov branch, 2012. 86 p.
6. Tsvil M.M., Velikanova E.S. Forecasting the volume of customs payments // Engineering Bulletin of the Don. 2020. No. 4. [Electronic resource]. URL: http://www.ivdon.ru/ru/magazine/archive/N4y2020/6401.
7. Velikanova E.S. The use of fictitious variables to improve the methodological foundations of forecasting customs payments // Materials of the XXⅣYouth Scientific Forum "Science Week".2020. No. 4. pp. 158-163.
